Dataset statistics
| Number of variables | 34 |
|---|---|
| Number of observations | 13 |
| Missing cells | 12 |
| Missing cells (%) | 2.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 4.8 KiB |
| Average record size in memory | 378.0 B |
Variable types
| Text | 2 |
|---|---|
| Numeric | 27 |
| Categorical | 5 |
title has constant value "" | Constant |
data__Curfew and Loitering Law Violations has constant value "" | Constant |
data__Drunkenness has constant value "" | Constant |
data__Human Trafficking - Involuntary Servitude has constant value "" | Constant |
data__Suspicion has constant value "" | Constant |
data__Aggravated Assault is highly overall correlated with data__All Other Offenses (Except Traffic) and 23 other fields | High correlation |
data__All Other Offenses (Except Traffic) is highly overall correlated with data__Aggravated Assault and 23 other fields | High correlation |
data__Arson is highly overall correlated with data__Aggravated Assault and 23 other fields | High correlation |
data__Burglary is highly overall correlated with data__Aggravated Assault and 21 other fields | High correlation |
data__Disorderly Conduct is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Driving Under the Influence is highly overall correlated with data__Aggravated Assault and 23 other fields | High correlation |
data__Drug Abuse Violations - Grand Total is highly overall correlated with data__Arson and 1 other fields | High correlation |
data__Embezzlement is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Forgery and Counterfeiting is highly overall correlated with data__Aggravated Assault and 23 other fields | High correlation |
data__Fraud is highly overall correlated with data__Aggravated Assault and 23 other fields | High correlation |
data__Gambling - Total is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Human Trafficking - Commercial Sex Acts is highly overall correlated with data__Aggravated Assault and 8 other fields | High correlation |
data__Larceny - Theft is highly overall correlated with data__Aggravated Assault and 20 other fields | High correlation |
data__Liquor Laws is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Manslaughter by Negligence is highly overall correlated with data__Aggravated Assault and 15 other fields | High correlation |
data__Motor Vehicle Theft is highly overall correlated with data__Aggravated Assault and 20 other fields | High correlation |
data__Murder and Nonnegligent Manslaughter is highly overall correlated with data__Motor Vehicle Theft | High correlation |
data__Offenses Against the Family and Children is highly overall correlated with data__Aggravated Assault and 15 other fields | High correlation |
data__Prostitution and Commercialized Vice is highly overall correlated with data__Aggravated Assault and 19 other fields | High correlation |
data__Robbery is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice) is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Simple Assault is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Stolen Property: Buying, Receiving, Possessing is highly overall correlated with data__Aggravated Assault and 20 other fields | High correlation |
data__Vagrancy is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Vandalism is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Weapons: Carrying, Possessing, Etc. is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__data_year is highly overall correlated with data__Aggravated Assault and 22 other fields | High correlation |
data__Human Trafficking - Commercial Sex Acts is highly imbalanced (60.9%) | Imbalance |
title has 12 (92.3%) missing values | Missing |
keys has unique values | Unique |
data__data_year has unique values | Unique |
data__Aggravated Assault has unique values | Unique |
data__All Other Offenses (Except Traffic) has unique values | Unique |
data__Burglary has unique values | Unique |
data__Disorderly Conduct has unique values | Unique |
data__Driving Under the Influence has unique values | Unique |
data__Drug Abuse Violations - Grand Total has unique values | Unique |
data__Embezzlement has unique values | Unique |
data__Forgery and Counterfeiting has unique values | Unique |
data__Fraud has unique values | Unique |
data__Gambling - Total has unique values | Unique |
data__Larceny - Theft has unique values | Unique |
data__Liquor Laws has unique values | Unique |
data__Motor Vehicle Theft has unique values | Unique |
data__Offenses Against the Family and Children has unique values | Unique |
data__Prostitution and Commercialized Vice has unique values | Unique |
data__Rape has unique values | Unique |
data__Robbery has unique values | Unique |
data__Simple Assault has unique values | Unique |
data__Stolen Property: Buying, Receiving, Possessing has unique values | Unique |
data__Vagrancy has unique values | Unique |
data__Vandalism has unique values | Unique |
data__Weapons: Carrying, Possessing, Etc. has unique values | Unique |
data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice) has unique values | Unique |
Reproduction
| Analysis started | 2024-03-02 18:53:45.107030 |
|---|---|
| Analysis finished | 2024-03-02 18:54:37.711235 |
| Duration | 52.6 seconds |
| Software version | ydata-profiling vv4.6.5 |
| Download configuration | config.json |
title
Text
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 92.3% |
| Memory size | 594.0 B |
Length
| Max length | 21 |
|---|---|
| Median length | 21 |
| Mean length | 21 |
| Min length | 21 |
Characters and Unicode
| Total characters | 21 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | All Arrest by Offense |
|---|
| Value | Count | Frequency (%) |
| all | 1 | |
| arrest | 1 | |
| by | 1 | |
| offense | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | ||
| e | 3 | |
| A | 2 | |
| l | 2 | |
| r | 2 | |
| s | 2 | |
| f | 2 | |
| t | 1 | 4.8% |
| b | 1 | 4.8% |
| y | 1 | 4.8% |
| Other values (2) | 2 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 15 | |
| Space Separator | 3 | 14.3% |
| Uppercase Letter | 3 | 14.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 3 | |
| l | 2 | |
| r | 2 | |
| s | 2 | |
| f | 2 | |
| t | 1 | 6.7% |
| b | 1 | 6.7% |
| y | 1 | 6.7% |
| n | 1 | 6.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 2 | |
| O | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 18 | |
| Common | 3 | 14.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 3 | |
| A | 2 | |
| l | 2 | |
| r | 2 | |
| s | 2 | |
| f | 2 | |
| t | 1 | 5.6% |
| b | 1 | 5.6% |
| y | 1 | 5.6% |
| O | 1 | 5.6% |
Common
| Value | Count | Frequency (%) |
| 3 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 21 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | ||
| e | 3 | |
| A | 2 | |
| l | 2 | |
| r | 2 | |
| s | 2 | |
| f | 2 | |
| t | 1 | 4.8% |
| b | 1 | 4.8% |
| y | 1 | 4.8% |
| Other values (2) | 2 |
keys
Text
UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
Length
| Max length | 35 |
|---|---|
| Median length | 26 |
| Mean length | 19.307692 |
| Min length | 5 |
Characters and Unicode
| Total characters | 251 |
|---|---|
| Distinct characters | 41 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 13 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Aggravated Assault |
|---|---|
| 2nd row | All Other Offenses (Except Traffic) |
| 3rd row | Arson |
| 4th row | Burglary |
| 5th row | Curfew and Loitering Law Violations |
| Value | Count | Frequency (%) |
| total | 2 | 5.7% |
| 2 | 5.7% | |
| and | 2 | 5.7% |
| violations | 2 | 5.7% |
| aggravated | 1 | 2.9% |
| under | 1 | 2.9% |
| fraud | 1 | 2.9% |
| counterfeiting | 1 | 2.9% |
| forgery | 1 | 2.9% |
| embezzlement | 1 | 2.9% |
| Other values (21) | 21 |
Most occurring characters
| Value | Count | Frequency (%) |
| 22 | 8.8% | |
| e | 21 | 8.4% |
| n | 20 | 8.0% |
| r | 19 | 7.6% |
| a | 15 | 6.0% |
| t | 14 | 5.6% |
| i | 13 | 5.2% |
| o | 12 | 4.8% |
| l | 12 | 4.8% |
| s | 11 | 4.4% |
| Other values (31) | 92 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 195 | |
| Uppercase Letter | 30 | 12.0% |
| Space Separator | 22 | 8.8% |
| Dash Punctuation | 2 | 0.8% |
| Close Punctuation | 1 | 0.4% |
| Open Punctuation | 1 | 0.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 21 | |
| n | 20 | |
| r | 19 | 9.7% |
| a | 15 | 7.7% |
| t | 14 | 7.2% |
| i | 13 | 6.7% |
| o | 12 | 6.2% |
| l | 12 | 6.2% |
| s | 11 | 5.6% |
| u | 10 | 5.1% |
| Other values (14) | 48 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 5 | |
| D | 4 | |
| T | 3 | |
| C | 3 | |
| G | 2 | 6.7% |
| V | 2 | 6.7% |
| L | 2 | 6.7% |
| F | 2 | 6.7% |
| E | 2 | 6.7% |
| O | 2 | 6.7% |
| Other values (3) | 3 |
Space Separator
| Value | Count | Frequency (%) |
| 22 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 2 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 225 | |
| Common | 26 | 10.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 21 | 9.3% |
| n | 20 | 8.9% |
| r | 19 | 8.4% |
| a | 15 | 6.7% |
| t | 14 | 6.2% |
| i | 13 | 5.8% |
| o | 12 | 5.3% |
| l | 12 | 5.3% |
| s | 11 | 4.9% |
| u | 10 | 4.4% |
| Other values (27) | 78 |
Common
| Value | Count | Frequency (%) |
| 22 | ||
| - | 2 | 7.7% |
| ) | 1 | 3.8% |
| ( | 1 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 251 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 22 | 8.8% | |
| e | 21 | 8.4% |
| n | 20 | 8.0% |
| r | 19 | 7.6% |
| a | 15 | 6.0% |
| t | 14 | 5.6% |
| i | 13 | 5.2% |
| o | 12 | 4.8% |
| l | 12 | 4.8% |
| s | 11 | 4.4% |
| Other values (31) | 92 |
data__data_year
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2015 |
| Minimum | 2009 |
|---|---|
| Maximum | 2021 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 2009 |
|---|---|
| 5-th percentile | 2009.6 |
| Q1 | 2012 |
| median | 2015 |
| Q3 | 2018 |
| 95-th percentile | 2020.4 |
| Maximum | 2021 |
| Range | 12 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.8944405 |
|---|---|
| Coefficient of variation (CV) | 0.0019327248 |
| Kurtosis | -1.2 |
| Mean | 2015 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0 |
| Sum | 26195 |
| Variance | 15.166667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 2009 | 1 | 7.7% |
| 2010 | 1 | 7.7% |
| 2011 | 1 | 7.7% |
| 2012 | 1 | 7.7% |
| 2013 | 1 | 7.7% |
| 2014 | 1 | 7.7% |
| 2015 | 1 | 7.7% |
| 2016 | 1 | 7.7% |
| 2017 | 1 | 7.7% |
| 2018 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 2009 | 1 | |
| 2010 | 1 | |
| 2011 | 1 | |
| 2012 | 1 | |
| 2013 | 1 | |
| 2014 | 1 | |
| 2015 | 1 | |
| 2016 | 1 | |
| 2017 | 1 | |
| 2018 | 1 |
| Value | Count | Frequency (%) |
| 2021 | 1 | |
| 2020 | 1 | |
| 2019 | 1 | |
| 2018 | 1 | |
| 2017 | 1 | |
| 2016 | 1 | |
| 2015 | 1 | |
| 2014 | 1 | |
| 2013 | 1 | |
| 2012 | 1 |
data__Aggravated Assault
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8482.3077 |
| Minimum | 2528 |
|---|---|
| Maximum | 10690 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 2528 |
|---|---|
| 5-th percentile | 5323.4 |
| Q1 | 8146 |
| median | 8698 |
| Q3 | 9759 |
| 95-th percentile | 10630 |
| Maximum | 10690 |
| Range | 8162 |
| Interquartile range (IQR) | 1613 |
Descriptive statistics
| Standard deviation | 2083.6315 |
|---|---|
| Coefficient of variation (CV) | 0.24564441 |
| Kurtosis | 5.6849806 |
| Mean | 8482.3077 |
| Median Absolute Deviation (MAD) | 1061 |
| Skewness | -2.0362811 |
| Sum | 110270 |
| Variance | 4341520.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 10690 | 1 | 7.7% |
| 10590 | 1 | 7.7% |
| 9759 | 1 | 7.7% |
| 10135 | 1 | 7.7% |
| 9025 | 1 | 7.7% |
| 8531 | 1 | 7.7% |
| 8698 | 1 | 7.7% |
| 8765 | 1 | 7.7% |
| 8594 | 1 | 7.7% |
| 8146 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 2528 | 1 | |
| 7187 | 1 | |
| 7622 | 1 | |
| 8146 | 1 | |
| 8531 | 1 | |
| 8594 | 1 | |
| 8698 | 1 | |
| 8765 | 1 | |
| 9025 | 1 | |
| 9759 | 1 |
| Value | Count | Frequency (%) |
| 10690 | 1 | |
| 10590 | 1 | |
| 10135 | 1 | |
| 9759 | 1 | |
| 9025 | 1 | |
| 8765 | 1 | |
| 8698 | 1 | |
| 8594 | 1 | |
| 8531 | 1 | |
| 8146 | 1 |
data__All Other Offenses (Except Traffic)
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49690 |
| Minimum | 12251 |
|---|---|
| Maximum | 79418 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 12251 |
|---|---|
| 5-th percentile | 20286.2 |
| Q1 | 42343 |
| median | 47286 |
| Q3 | 68123 |
| 95-th percentile | 76565 |
| Maximum | 79418 |
| Range | 67167 |
| Interquartile range (IQR) | 25780 |
Descriptive statistics
| Standard deviation | 19402.01 |
|---|---|
| Coefficient of variation (CV) | 0.39046107 |
| Kurtosis | -0.253009 |
| Mean | 49690 |
| Median Absolute Deviation (MAD) | 10409 |
| Skewness | -0.17539583 |
| Sum | 645970 |
| Variance | 3.7643801 × 108 |
| Monotonicity | Strictly decreasing |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 79418 | 1 | 7.7% |
| 74663 | 1 | 7.7% |
| 69703 | 1 | 7.7% |
| 68123 | 1 | 7.7% |
| 52861 | 1 | 7.7% |
| 47476 | 1 | 7.7% |
| 47286 | 1 | 7.7% |
| 44971 | 1 | 7.7% |
| 44355 | 1 | 7.7% |
| 42343 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 12251 | 1 | |
| 25643 | 1 | |
| 36877 | 1 | |
| 42343 | 1 | |
| 44355 | 1 | |
| 44971 | 1 | |
| 47286 | 1 | |
| 47476 | 1 | |
| 52861 | 1 | |
| 68123 | 1 |
| Value | Count | Frequency (%) |
| 79418 | 1 | |
| 74663 | 1 | |
| 69703 | 1 | |
| 68123 | 1 | |
| 52861 | 1 | |
| 47476 | 1 | |
| 47286 | 1 | |
| 44971 | 1 | |
| 44355 | 1 | |
| 42343 | 1 |
data__Arson
Real number (ℝ)
HIGH CORRELATION
| Distinct | 11 |
|---|---|
| Distinct (%) | 84.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 288.38462 |
| Minimum | 114 |
|---|---|
| Maximum | 419 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 114 |
|---|---|
| 5-th percentile | 181.2 |
| Q1 | 242 |
| median | 286 |
| Q3 | 344 |
| 95-th percentile | 395.6 |
| Maximum | 419 |
| Range | 305 |
| Interquartile range (IQR) | 102 |
Descriptive statistics
| Standard deviation | 77.97493 |
|---|---|
| Coefficient of variation (CV) | 0.27038519 |
| Kurtosis | 1.0899844 |
| Mean | 288.38462 |
| Median Absolute Deviation (MAD) | 58 |
| Skewness | -0.51119926 |
| Sum | 3749 |
| Variance | 6080.0897 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 298 | 2 | |
| 282 | 2 | |
| 419 | 1 | |
| 351 | 1 | |
| 286 | 1 | |
| 380 | 1 | |
| 344 | 1 | |
| 242 | 1 | |
| 226 | 1 | |
| 227 | 1 |
| Value | Count | Frequency (%) |
| 114 | 1 | |
| 226 | 1 | |
| 227 | 1 | |
| 242 | 1 | |
| 282 | 2 | |
| 286 | 1 | |
| 298 | 2 | |
| 344 | 1 | |
| 351 | 1 | |
| 380 | 1 |
| Value | Count | Frequency (%) |
| 419 | 1 | |
| 380 | 1 | |
| 351 | 1 | |
| 344 | 1 | |
| 298 | 2 | |
| 286 | 1 | |
| 282 | 2 | |
| 242 | 1 | |
| 227 | 1 | |
| 226 | 1 |
data__Burglary
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6388.7692 |
| Minimum | 1317 |
|---|---|
| Maximum | 9333 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 1317 |
|---|---|
| 5-th percentile | 2962.8 |
| Q1 | 4696 |
| median | 6427 |
| Q3 | 8317 |
| 95-th percentile | 9037.8 |
| Maximum | 9333 |
| Range | 8016 |
| Interquartile range (IQR) | 3621 |
Descriptive statistics
| Standard deviation | 2345.7591 |
|---|---|
| Coefficient of variation (CV) | 0.36716917 |
| Kurtosis | 0.065935739 |
| Mean | 6388.7692 |
| Median Absolute Deviation (MAD) | 1869 |
| Skewness | -0.67562673 |
| Sum | 83054 |
| Variance | 5502585.9 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 8317 | 1 | 7.7% |
| 8747 | 1 | 7.7% |
| 8841 | 1 | 7.7% |
| 9333 | 1 | 7.7% |
| 8130 | 1 | 7.7% |
| 7198 | 1 | 7.7% |
| 6427 | 1 | 7.7% |
| 5950 | 1 | 7.7% |
| 5480 | 1 | 7.7% |
| 4696 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 1317 | 1 | |
| 4060 | 1 | |
| 4558 | 1 | |
| 4696 | 1 | |
| 5480 | 1 | |
| 5950 | 1 | |
| 6427 | 1 | |
| 7198 | 1 | |
| 8130 | 1 | |
| 8317 | 1 |
| Value | Count | Frequency (%) |
| 9333 | 1 | |
| 8841 | 1 | |
| 8747 | 1 | |
| 8317 | 1 | |
| 8130 | 1 | |
| 7198 | 1 | |
| 6427 | 1 | |
| 5950 | 1 | |
| 5480 | 1 | |
| 4696 | 1 |
data__Curfew and Loitering Law Violations
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 886.0 B |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 13 |
data__Disorderly Conduct
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8136.1538 |
| Minimum | 701 |
|---|---|
| Maximum | 15063 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 701 |
|---|---|
| 5-th percentile | 1435.4 |
| Q1 | 5271 |
| median | 7287 |
| Q3 | 12904 |
| 95-th percentile | 14606.4 |
| Maximum | 15063 |
| Range | 14362 |
| Interquartile range (IQR) | 7633 |
Descriptive statistics
| Standard deviation | 4730.7671 |
|---|---|
| Coefficient of variation (CV) | 0.58145005 |
| Kurtosis | -1.2041291 |
| Mean | 8136.1538 |
| Median Absolute Deviation (MAD) | 3304 |
| Skewness | 0.043478741 |
| Sum | 105770 |
| Variance | 22380157 |
| Monotonicity | Strictly decreasing |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 15063 | 1 | 7.7% |
| 14302 | 1 | 7.7% |
| 13176 | 1 | 7.7% |
| 12904 | 1 | 7.7% |
| 10341 | 1 | 7.7% |
| 8731 | 1 | 7.7% |
| 7287 | 1 | 7.7% |
| 6498 | 1 | 7.7% |
| 5588 | 1 | 7.7% |
| 5271 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 701 | 1 | |
| 1925 | 1 | |
| 3983 | 1 | |
| 5271 | 1 | |
| 5588 | 1 | |
| 6498 | 1 | |
| 7287 | 1 | |
| 8731 | 1 | |
| 10341 | 1 | |
| 12904 | 1 |
| Value | Count | Frequency (%) |
| 15063 | 1 | |
| 14302 | 1 | |
| 13176 | 1 | |
| 12904 | 1 | |
| 10341 | 1 | |
| 8731 | 1 | |
| 7287 | 1 | |
| 6498 | 1 | |
| 5588 | 1 | |
| 5271 | 1 |
data__Driving Under the Influence
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28852.231 |
| Minimum | 4256 |
|---|---|
| Maximum | 39217 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 4256 |
|---|---|
| 5-th percentile | 12672.8 |
| Q1 | 27000 |
| median | 30361 |
| Q3 | 34042 |
| 95-th percentile | 38918.8 |
| Maximum | 39217 |
| Range | 34961 |
| Interquartile range (IQR) | 7042 |
Descriptive statistics
| Standard deviation | 9273.2505 |
|---|---|
| Coefficient of variation (CV) | 0.32140497 |
| Kurtosis | 3.607258 |
| Mean | 28852.231 |
| Median Absolute Deviation (MAD) | 3681 |
| Skewness | -1.6506638 |
| Sum | 375079 |
| Variance | 85993175 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 36694 | 1 | 7.7% |
| 38720 | 1 | 7.7% |
| 39217 | 1 | 7.7% |
| 34042 | 1 | 7.7% |
| 31174 | 1 | 7.7% |
| 30546 | 1 | 7.7% |
| 30361 | 1 | 7.7% |
| 29984 | 1 | 7.7% |
| 28533 | 1 | 7.7% |
| 27000 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 4256 | 1 | |
| 18284 | 1 | |
| 26268 | 1 | |
| 27000 | 1 | |
| 28533 | 1 | |
| 29984 | 1 | |
| 30361 | 1 | |
| 30546 | 1 | |
| 31174 | 1 | |
| 34042 | 1 |
| Value | Count | Frequency (%) |
| 39217 | 1 | |
| 38720 | 1 | |
| 36694 | 1 | |
| 34042 | 1 | |
| 31174 | 1 | |
| 30546 | 1 | |
| 30361 | 1 | |
| 29984 | 1 | |
| 28533 | 1 | |
| 27000 | 1 |
data__Drug Abuse Violations - Grand Total
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53292.154 |
| Minimum | 4160 |
|---|---|
| Maximum | 76716 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 4160 |
|---|---|
| 5-th percentile | 16671.8 |
| Q1 | 35288 |
| median | 64385 |
| Q3 | 67322 |
| 95-th percentile | 76351.2 |
| Maximum | 76716 |
| Range | 72556 |
| Interquartile range (IQR) | 32034 |
Descriptive statistics
| Standard deviation | 22862.065 |
|---|---|
| Coefficient of variation (CV) | 0.42899495 |
| Kurtosis | 0.038265374 |
| Mean | 53292.154 |
| Median Absolute Deviation (MAD) | 6718 |
| Skewness | -1.0861289 |
| Sum | 692798 |
| Variance | 5.2267402 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 61957 | 1 | 7.7% |
| 65710 | 1 | 7.7% |
| 65331 | 1 | 7.7% |
| 67322 | 1 | 7.7% |
| 67324 | 1 | 7.7% |
| 64385 | 1 | 7.7% |
| 25013 | 1 | 7.7% |
| 25817 | 1 | 7.7% |
| 76716 | 1 | 7.7% |
| 76108 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 4160 | 1 | |
| 25013 | 1 | |
| 25817 | 1 | |
| 35288 | 1 | |
| 57667 | 1 | |
| 61957 | 1 | |
| 64385 | 1 | |
| 65331 | 1 | |
| 65710 | 1 | |
| 67322 | 1 |
| Value | Count | Frequency (%) |
| 76716 | 1 | |
| 76108 | 1 | |
| 67324 | 1 | |
| 67322 | 1 | |
| 65710 | 1 | |
| 65331 | 1 | |
| 64385 | 1 | |
| 61957 | 1 | |
| 57667 | 1 | |
| 35288 | 1 |
data__Drunkenness
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 886.0 B |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 13 |
data__Embezzlement
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.769231 |
| Minimum | 16 |
|---|---|
| Maximum | 156 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 16 |
|---|---|
| 5-th percentile | 19.6 |
| Q1 | 37 |
| median | 64 |
| Q3 | 101 |
| 95-th percentile | 133.2 |
| Maximum | 156 |
| Range | 140 |
| Interquartile range (IQR) | 64 |
Descriptive statistics
| Standard deviation | 42.085536 |
|---|---|
| Coefficient of variation (CV) | 0.60321054 |
| Kurtosis | -0.33410706 |
| Mean | 69.769231 |
| Median Absolute Deviation (MAD) | 37 |
| Skewness | 0.56716993 |
| Sum | 907 |
| Variance | 1771.1923 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 156 | 1 | 7.7% |
| 103 | 1 | 7.7% |
| 118 | 1 | 7.7% |
| 101 | 1 | 7.7% |
| 90 | 1 | 7.7% |
| 52 | 1 | 7.7% |
| 74 | 1 | 7.7% |
| 64 | 1 | 7.7% |
| 48 | 1 | 7.7% |
| 37 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 16 | 1 | |
| 22 | 1 | |
| 26 | 1 | |
| 37 | 1 | |
| 48 | 1 | |
| 52 | 1 | |
| 64 | 1 | |
| 74 | 1 | |
| 90 | 1 | |
| 101 | 1 |
| Value | Count | Frequency (%) |
| 156 | 1 | |
| 118 | 1 | |
| 103 | 1 | |
| 101 | 1 | |
| 90 | 1 | |
| 74 | 1 | |
| 64 | 1 | |
| 52 | 1 | |
| 48 | 1 | |
| 37 | 1 |
data__Forgery and Counterfeiting
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2575.6154 |
| Minimum | 257 |
|---|---|
| Maximum | 3647 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 257 |
|---|---|
| 5-th percentile | 947.6 |
| Q1 | 2207 |
| median | 2795 |
| Q3 | 3122 |
| 95-th percentile | 3630.8 |
| Maximum | 3647 |
| Range | 3390 |
| Interquartile range (IQR) | 915 |
Descriptive statistics
| Standard deviation | 950.62055 |
|---|---|
| Coefficient of variation (CV) | 0.36908482 |
| Kurtosis | 1.8064115 |
| Mean | 2575.6154 |
| Median Absolute Deviation (MAD) | 408 |
| Skewness | -1.3269527 |
| Sum | 33483 |
| Variance | 903679.42 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 3620 | 1 | 7.7% |
| 3203 | 1 | 7.7% |
| 3115 | 1 | 7.7% |
| 3647 | 1 | 7.7% |
| 3122 | 1 | 7.7% |
| 2713 | 1 | 7.7% |
| 2795 | 1 | 7.7% |
| 2852 | 1 | 7.7% |
| 2730 | 1 | 7.7% |
| 2207 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 257 | 1 | |
| 1408 | 1 | |
| 1814 | 1 | |
| 2207 | 1 | |
| 2713 | 1 | |
| 2730 | 1 | |
| 2795 | 1 | |
| 2852 | 1 | |
| 3115 | 1 | |
| 3122 | 1 |
| Value | Count | Frequency (%) |
| 3647 | 1 | |
| 3620 | 1 | |
| 3203 | 1 | |
| 3122 | 1 | |
| 3115 | 1 | |
| 2852 | 1 | |
| 2795 | 1 | |
| 2730 | 1 | |
| 2713 | 1 | |
| 2207 | 1 |
data__Fraud
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4778.8462 |
| Minimum | 321 |
|---|---|
| Maximum | 7868 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 321 |
|---|---|
| 5-th percentile | 1090.2 |
| Q1 | 4142 |
| median | 5045 |
| Q3 | 6234 |
| 95-th percentile | 7157.6 |
| Maximum | 7868 |
| Range | 7547 |
| Interquartile range (IQR) | 2092 |
Descriptive statistics
| Standard deviation | 2078.9153 |
|---|---|
| Coefficient of variation (CV) | 0.43502453 |
| Kurtosis | 0.64499093 |
| Mean | 4778.8462 |
| Median Absolute Deviation (MAD) | 1189 |
| Skewness | -0.83124178 |
| Sum | 62125 |
| Variance | 4321888.8 |
| Monotonicity | Strictly decreasing |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 7868 | 1 | 7.7% |
| 6684 | 1 | 7.7% |
| 6607 | 1 | 7.7% |
| 6234 | 1 | 7.7% |
| 5720 | 1 | 7.7% |
| 5378 | 1 | 7.7% |
| 5045 | 1 | 7.7% |
| 4481 | 1 | 7.7% |
| 4417 | 1 | 7.7% |
| 4142 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 321 | 1 | |
| 1603 | 1 | |
| 3625 | 1 | |
| 4142 | 1 | |
| 4417 | 1 | |
| 4481 | 1 | |
| 5045 | 1 | |
| 5378 | 1 | |
| 5720 | 1 | |
| 6234 | 1 |
| Value | Count | Frequency (%) |
| 7868 | 1 | |
| 6684 | 1 | |
| 6607 | 1 | |
| 6234 | 1 | |
| 5720 | 1 | |
| 5378 | 1 | |
| 5045 | 1 | |
| 4481 | 1 | |
| 4417 | 1 | |
| 4142 | 1 |
data__Gambling - Total
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 104.69231 |
| Minimum | 7 |
|---|---|
| Maximum | 237 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 22.6 |
| Q1 | 45 |
| median | 82 |
| Q3 | 163 |
| 95-th percentile | 210.6 |
| Maximum | 237 |
| Range | 230 |
| Interquartile range (IQR) | 118 |
Descriptive statistics
| Standard deviation | 71.426401 |
|---|---|
| Coefficient of variation (CV) | 0.68225071 |
| Kurtosis | -0.83000297 |
| Mean | 104.69231 |
| Median Absolute Deviation (MAD) | 45 |
| Skewness | 0.52540561 |
| Sum | 1361 |
| Variance | 5101.7308 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 237 | 1 | 7.7% |
| 163 | 1 | 7.7% |
| 193 | 1 | 7.7% |
| 190 | 1 | 7.7% |
| 120 | 1 | 7.7% |
| 82 | 1 | 7.7% |
| 78 | 1 | 7.7% |
| 74 | 1 | 7.7% |
| 102 | 1 | 7.7% |
| 45 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 7 | 1 | |
| 33 | 1 | |
| 37 | 1 | |
| 45 | 1 | |
| 74 | 1 | |
| 78 | 1 | |
| 82 | 1 | |
| 102 | 1 | |
| 120 | 1 | |
| 163 | 1 |
| Value | Count | Frequency (%) |
| 237 | 1 | |
| 193 | 1 | |
| 190 | 1 | |
| 163 | 1 | |
| 120 | 1 | |
| 102 | 1 | |
| 82 | 1 | |
| 78 | 1 | |
| 74 | 1 | |
| 45 | 1 |
data__Human Trafficking - Commercial Sex Acts
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 886.0 B |
| 0 | |
|---|---|
| 1 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 7.7% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 1 | 7.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 1 | 7.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 1 | 7.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 1 | 7.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 1 | 7.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 1 | 7.7% |
data__Human Trafficking - Involuntary Servitude
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 886.0 B |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 13 |
data__Larceny - Theft
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40991.077 |
| Minimum | 7789 |
|---|---|
| Maximum | 51906 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 7789 |
|---|---|
| 5-th percentile | 18787 |
| Q1 | 36890 |
| median | 45308 |
| Q3 | 50330 |
| 95-th percentile | 51434.4 |
| Maximum | 51906 |
| Range | 44117 |
| Interquartile range (IQR) | 13440 |
Descriptive statistics
| Standard deviation | 12690.661 |
|---|---|
| Coefficient of variation (CV) | 0.3095957 |
| Kurtosis | 3.0661717 |
| Mean | 40991.077 |
| Median Absolute Deviation (MAD) | 5812 |
| Skewness | -1.6974991 |
| Sum | 532884 |
| Variance | 1.6105288 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 49523 | 1 | 7.7% |
| 50330 | 1 | 7.7% |
| 51120 | 1 | 7.7% |
| 51906 | 1 | 7.7% |
| 50765 | 1 | 7.7% |
| 47495 | 1 | 7.7% |
| 45308 | 1 | 7.7% |
| 42550 | 1 | 7.7% |
| 39002 | 1 | 7.7% |
| 36890 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 7789 | 1 | |
| 26119 | 1 | |
| 34087 | 1 | |
| 36890 | 1 | |
| 39002 | 1 | |
| 42550 | 1 | |
| 45308 | 1 | |
| 47495 | 1 | |
| 49523 | 1 | |
| 50330 | 1 |
| Value | Count | Frequency (%) |
| 51906 | 1 | |
| 51120 | 1 | |
| 50765 | 1 | |
| 50330 | 1 | |
| 49523 | 1 | |
| 47495 | 1 | |
| 45308 | 1 | |
| 42550 | 1 | |
| 39002 | 1 | |
| 36890 | 1 |
data__Liquor Laws
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2488 |
| Minimum | 171 |
|---|---|
| Maximum | 5260 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 171 |
|---|---|
| 5-th percentile | 223.8 |
| Q1 | 1106 |
| median | 1873 |
| Q3 | 4556 |
| 95-th percentile | 5068 |
| Maximum | 5260 |
| Range | 5089 |
| Interquartile range (IQR) | 3450 |
Descriptive statistics
| Standard deviation | 1845.4444 |
|---|---|
| Coefficient of variation (CV) | 0.74173812 |
| Kurtosis | -1.4656726 |
| Mean | 2488 |
| Median Absolute Deviation (MAD) | 1272 |
| Skewness | 0.35959206 |
| Sum | 32344 |
| Variance | 3405665.2 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 5260 | 1 | 7.7% |
| 4726 | 1 | 7.7% |
| 4556 | 1 | 7.7% |
| 4940 | 1 | 7.7% |
| 3145 | 1 | 7.7% |
| 2467 | 1 | 7.7% |
| 1873 | 1 | 7.7% |
| 1609 | 1 | 7.7% |
| 1498 | 1 | 7.7% |
| 1106 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 171 | 1 | |
| 259 | 1 | |
| 734 | 1 | |
| 1106 | 1 | |
| 1498 | 1 | |
| 1609 | 1 | |
| 1873 | 1 | |
| 2467 | 1 | |
| 3145 | 1 | |
| 4556 | 1 |
| Value | Count | Frequency (%) |
| 5260 | 1 | |
| 4940 | 1 | |
| 4726 | 1 | |
| 4556 | 1 | |
| 3145 | 1 | |
| 2467 | 1 | |
| 1873 | 1 | |
| 1609 | 1 | |
| 1498 | 1 | |
| 1106 | 1 |
data__Manslaughter by Negligence
Real number (ℝ)
HIGH CORRELATION
| Distinct | 10 |
|---|---|
| Distinct (%) | 76.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.076923 |
| Minimum | 5 |
|---|---|
| Maximum | 28 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 6.8 |
| Q1 | 11 |
| median | 15 |
| Q3 | 18 |
| 95-th percentile | 23.8 |
| Maximum | 28 |
| Range | 23 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 6.0340912 |
|---|---|
| Coefficient of variation (CV) | 0.40022033 |
| Kurtosis | 0.63001131 |
| Mean | 15.076923 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.48240628 |
| Sum | 196 |
| Variance | 36.410256 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 15 | 2 | |
| 21 | 2 | |
| 11 | 2 | |
| 28 | 1 | |
| 16 | 1 | |
| 14 | 1 | |
| 18 | 1 | |
| 13 | 1 | |
| 8 | 1 | |
| 5 | 1 |
| Value | Count | Frequency (%) |
| 5 | 1 | |
| 8 | 1 | |
| 11 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 18 | 1 | |
| 21 | 2 | |
| 28 | 1 |
| Value | Count | Frequency (%) |
| 28 | 1 | |
| 21 | 2 | |
| 18 | 1 | |
| 16 | 1 | |
| 15 | 2 | |
| 14 | 1 | |
| 13 | 1 | |
| 11 | 2 | |
| 8 | 1 | |
| 5 | 1 |
data__Motor Vehicle Theft
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1836.5385 |
| Minimum | 760 |
|---|---|
| Maximum | 2208 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 760 |
|---|---|
| 5-th percentile | 1370.8 |
| Q1 | 1811 |
| median | 1856 |
| Q3 | 1986 |
| 95-th percentile | 2174.4 |
| Maximum | 2208 |
| Range | 1448 |
| Interquartile range (IQR) | 175 |
Descriptive statistics
| Standard deviation | 352.73045 |
|---|---|
| Coefficient of variation (CV) | 0.19206265 |
| Kurtosis | 8.3275155 |
| Mean | 1836.5385 |
| Median Absolute Deviation (MAD) | 61 |
| Skewness | -2.5753615 |
| Sum | 23875 |
| Variance | 124418.77 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 2208 | 1 | 7.7% |
| 2075 | 1 | 7.7% |
| 1986 | 1 | 7.7% |
| 2152 | 1 | 7.7% |
| 1825 | 1 | 7.7% |
| 1778 | 1 | 7.7% |
| 1811 | 1 | 7.7% |
| 1856 | 1 | 7.7% |
| 1812 | 1 | 7.7% |
| 1901 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 760 | 1 | |
| 1778 | 1 | |
| 1795 | 1 | |
| 1811 | 1 | |
| 1812 | 1 | |
| 1825 | 1 | |
| 1856 | 1 | |
| 1901 | 1 | |
| 1916 | 1 | |
| 1986 | 1 |
| Value | Count | Frequency (%) |
| 2208 | 1 | |
| 2152 | 1 | |
| 2075 | 1 | |
| 1986 | 1 | |
| 1916 | 1 | |
| 1901 | 1 | |
| 1856 | 1 | |
| 1825 | 1 | |
| 1812 | 1 | |
| 1811 | 1 |
data__Murder and Nonnegligent Manslaughter
Real number (ℝ)
HIGH CORRELATION
| Distinct | 12 |
|---|---|
| Distinct (%) | 92.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 242.76923 |
| Minimum | 94 |
|---|---|
| Maximum | 289 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 94 |
|---|---|
| 5-th percentile | 157.6 |
| Q1 | 216 |
| median | 263 |
| Q3 | 274 |
| 95-th percentile | 284.8 |
| Maximum | 289 |
| Range | 195 |
| Interquartile range (IQR) | 58 |
Descriptive statistics
| Standard deviation | 53.305963 |
|---|---|
| Coefficient of variation (CV) | 0.21957462 |
| Kurtosis | 4.7133851 |
| Mean | 242.76923 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | -2.038241 |
| Sum | 3156 |
| Variance | 2841.5256 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 263 | 2 | |
| 282 | 1 | |
| 289 | 1 | |
| 247 | 1 | |
| 209 | 1 | |
| 273 | 1 | |
| 216 | 1 | |
| 268 | 1 | |
| 274 | 1 | |
| 200 | 1 | |
| Other values (2) | 2 |
| Value | Count | Frequency (%) |
| 94 | 1 | |
| 200 | 1 | |
| 209 | 1 | |
| 216 | 1 | |
| 247 | 1 | |
| 263 | 2 | |
| 268 | 1 | |
| 273 | 1 | |
| 274 | 1 | |
| 278 | 1 |
| Value | Count | Frequency (%) |
| 289 | 1 | |
| 282 | 1 | |
| 278 | 1 | |
| 274 | 1 | |
| 273 | 1 | |
| 268 | 1 | |
| 263 | 2 | |
| 247 | 1 | |
| 216 | 1 | |
| 209 | 1 |
data__Offenses Against the Family and Children
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 554.23077 |
| Minimum | 41 |
|---|---|
| Maximum | 1324 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 41 |
|---|---|
| 5-th percentile | 210.8 |
| Q1 | 467 |
| median | 551 |
| Q3 | 604 |
| 95-th percentile | 910.6 |
| Maximum | 1324 |
| Range | 1283 |
| Interquartile range (IQR) | 137 |
Descriptive statistics
| Standard deviation | 282.42821 |
|---|---|
| Coefficient of variation (CV) | 0.50958594 |
| Kurtosis | 5.2620431 |
| Mean | 554.23077 |
| Median Absolute Deviation (MAD) | 60 |
| Skewness | 1.3335614 |
| Sum | 7205 |
| Variance | 79765.692 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 1324 | 1 | 7.7% |
| 635 | 1 | 7.7% |
| 602 | 1 | 7.7% |
| 467 | 1 | 7.7% |
| 396 | 1 | 7.7% |
| 551 | 1 | 7.7% |
| 604 | 1 | 7.7% |
| 611 | 1 | 7.7% |
| 576 | 1 | 7.7% |
| 536 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 41 | 1 | |
| 324 | 1 | |
| 396 | 1 | |
| 467 | 1 | |
| 536 | 1 | |
| 538 | 1 | |
| 551 | 1 | |
| 576 | 1 | |
| 602 | 1 | |
| 604 | 1 |
| Value | Count | Frequency (%) |
| 1324 | 1 | |
| 635 | 1 | |
| 611 | 1 | |
| 604 | 1 | |
| 602 | 1 | |
| 576 | 1 | |
| 551 | 1 | |
| 538 | 1 | |
| 536 | 1 | |
| 467 | 1 |
data__Prostitution and Commercialized Vice
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 701.84615 |
| Minimum | 14 |
|---|---|
| Maximum | 1181 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 112.4 |
| Q1 | 599 |
| median | 805 |
| Q3 | 896 |
| 95-th percentile | 1050.2 |
| Maximum | 1181 |
| Range | 1167 |
| Interquartile range (IQR) | 297 |
Descriptive statistics
| Standard deviation | 323.48953 |
|---|---|
| Coefficient of variation (CV) | 0.4609123 |
| Kurtosis | 0.65374813 |
| Mean | 701.84615 |
| Median Absolute Deviation (MAD) | 158 |
| Skewness | -0.93615998 |
| Sum | 9124 |
| Variance | 104645.47 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 874 | 1 | 7.7% |
| 896 | 1 | 7.7% |
| 963 | 1 | 7.7% |
| 805 | 1 | 7.7% |
| 1181 | 1 | 7.7% |
| 923 | 1 | 7.7% |
| 869 | 1 | 7.7% |
| 632 | 1 | 7.7% |
| 688 | 1 | 7.7% |
| 599 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 14 | 1 | |
| 178 | 1 | |
| 502 | 1 | |
| 599 | 1 | |
| 632 | 1 | |
| 688 | 1 | |
| 805 | 1 | |
| 869 | 1 | |
| 874 | 1 | |
| 896 | 1 |
| Value | Count | Frequency (%) |
| 1181 | 1 | |
| 963 | 1 | |
| 923 | 1 | |
| 896 | 1 | |
| 874 | 1 | |
| 869 | 1 | |
| 805 | 1 | |
| 688 | 1 | |
| 632 | 1 | |
| 599 | 1 |
data__Rape
Real number (ℝ)
UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 699.61538 |
| Minimum | 205 |
|---|---|
| Maximum | 1164 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 205 |
|---|---|
| 5-th percentile | 304 |
| Q1 | 469 |
| median | 534 |
| Q3 | 1015 |
| 95-th percentile | 1138.8 |
| Maximum | 1164 |
| Range | 959 |
| Interquartile range (IQR) | 546 |
Descriptive statistics
| Standard deviation | 324.37826 |
|---|---|
| Coefficient of variation (CV) | 0.46365227 |
| Kurtosis | -1.579177 |
| Mean | 699.61538 |
| Median Absolute Deviation (MAD) | 222 |
| Skewness | 0.17208172 |
| Sum | 9095 |
| Variance | 105221.26 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 534 | 1 | 7.7% |
| 516 | 1 | 7.7% |
| 470 | 1 | 7.7% |
| 461 | 1 | 7.7% |
| 370 | 1 | 7.7% |
| 469 | 1 | 7.7% |
| 1164 | 1 | 7.7% |
| 1122 | 1 | 7.7% |
| 1015 | 1 | 7.7% |
| 994 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 205 | 1 | |
| 370 | 1 | |
| 461 | 1 | |
| 469 | 1 | |
| 470 | 1 | |
| 516 | 1 | |
| 534 | 1 | |
| 756 | 1 | |
| 994 | 1 | |
| 1015 | 1 |
| Value | Count | Frequency (%) |
| 1164 | 1 | |
| 1122 | 1 | |
| 1019 | 1 | |
| 1015 | 1 | |
| 994 | 1 | |
| 756 | 1 | |
| 534 | 1 | |
| 516 | 1 | |
| 470 | 1 | |
| 469 | 1 |
data__Robbery
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3171 |
| Minimum | 621 |
|---|---|
| Maximum | 4380 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 621 |
|---|---|
| 5-th percentile | 1395 |
| Q1 | 2798 |
| median | 3614 |
| Q3 | 3820 |
| 95-th percentile | 4104 |
| Maximum | 4380 |
| Range | 3759 |
| Interquartile range (IQR) | 1022 |
Descriptive statistics
| Standard deviation | 1031.548 |
|---|---|
| Coefficient of variation (CV) | 0.32530685 |
| Kurtosis | 1.9816078 |
| Mean | 3171 |
| Median Absolute Deviation (MAD) | 306 |
| Skewness | -1.4443955 |
| Sum | 41223 |
| Variance | 1064091.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 4380 | 1 | 7.7% |
| 3854 | 1 | 7.7% |
| 3920 | 1 | 7.7% |
| 3820 | 1 | 7.7% |
| 3799 | 1 | 7.7% |
| 3614 | 1 | 7.7% |
| 3646 | 1 | 7.7% |
| 3337 | 1 | 7.7% |
| 3236 | 1 | 7.7% |
| 2798 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 621 | 1 | |
| 1911 | 1 | |
| 2287 | 1 | |
| 2798 | 1 | |
| 3236 | 1 | |
| 3337 | 1 | |
| 3614 | 1 | |
| 3646 | 1 | |
| 3799 | 1 | |
| 3820 | 1 |
| Value | Count | Frequency (%) |
| 4380 | 1 | |
| 3920 | 1 | |
| 3854 | 1 | |
| 3820 | 1 | |
| 3799 | 1 | |
| 3646 | 1 | |
| 3614 | 1 | |
| 3337 | 1 | |
| 3236 | 1 | |
| 2798 | 1 |
data__Simple Assault
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30492.077 |
| Minimum | 7830 |
|---|---|
| Maximum | 39851 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 7830 |
|---|---|
| 5-th percentile | 15252 |
| Q1 | 28321 |
| median | 31396 |
| Q3 | 38118 |
| 95-th percentile | 39260 |
| Maximum | 39851 |
| Range | 32021 |
| Interquartile range (IQR) | 9797 |
Descriptive statistics
| Standard deviation | 9014.1134 |
|---|---|
| Coefficient of variation (CV) | 0.2956215 |
| Kurtosis | 2.2761414 |
| Mean | 30492.077 |
| Median Absolute Deviation (MAD) | 6126 |
| Skewness | -1.3842831 |
| Sum | 396397 |
| Variance | 81254241 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 37004 | 1 | 7.7% |
| 39851 | 1 | 7.7% |
| 38866 | 1 | 7.7% |
| 38118 | 1 | 7.7% |
| 38197 | 1 | 7.7% |
| 32185 | 1 | 7.7% |
| 31396 | 1 | 7.7% |
| 30120 | 1 | 7.7% |
| 29039 | 1 | 7.7% |
| 28321 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 7830 | 1 | |
| 20200 | 1 | |
| 25270 | 1 | |
| 28321 | 1 | |
| 29039 | 1 | |
| 30120 | 1 | |
| 31396 | 1 | |
| 32185 | 1 | |
| 37004 | 1 | |
| 38118 | 1 |
| Value | Count | Frequency (%) |
| 39851 | 1 | |
| 38866 | 1 | |
| 38197 | 1 | |
| 38118 | 1 | |
| 37004 | 1 | |
| 32185 | 1 | |
| 31396 | 1 | |
| 30120 | 1 | |
| 29039 | 1 | |
| 28321 | 1 |
data__Stolen Property: Buying, Receiving, Possessing
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3856.9231 |
| Minimum | 560 |
|---|---|
| Maximum | 5854 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 560 |
|---|---|
| 5-th percentile | 1624.4 |
| Q1 | 3006 |
| median | 3756 |
| Q3 | 5301 |
| 95-th percentile | 5668 |
| Maximum | 5854 |
| Range | 5294 |
| Interquartile range (IQR) | 2295 |
Descriptive statistics
| Standard deviation | 1541.1508 |
|---|---|
| Coefficient of variation (CV) | 0.39958038 |
| Kurtosis | 0.043856183 |
| Mean | 3856.9231 |
| Median Absolute Deviation (MAD) | 1289 |
| Skewness | -0.60727735 |
| Sum | 50140 |
| Variance | 2375145.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 5544 | 1 | 7.7% |
| 5301 | 1 | 7.7% |
| 5382 | 1 | 7.7% |
| 5854 | 1 | 7.7% |
| 4814 | 1 | 7.7% |
| 4227 | 1 | 7.7% |
| 3756 | 1 | 7.7% |
| 3527 | 1 | 7.7% |
| 3368 | 1 | 7.7% |
| 3006 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 560 | 1 | |
| 2334 | 1 | |
| 2467 | 1 | |
| 3006 | 1 | |
| 3368 | 1 | |
| 3527 | 1 | |
| 3756 | 1 | |
| 4227 | 1 | |
| 4814 | 1 | |
| 5301 | 1 |
| Value | Count | Frequency (%) |
| 5854 | 1 | |
| 5544 | 1 | |
| 5382 | 1 | |
| 5301 | 1 | |
| 4814 | 1 | |
| 4227 | 1 | |
| 3756 | 1 | |
| 3527 | 1 | |
| 3368 | 1 | |
| 3006 | 1 |
data__Suspicion
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 886.0 B |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 13 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 13 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 13 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 13 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 13 |
data__Vagrancy
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 663.61538 |
| Minimum | 16 |
|---|---|
| Maximum | 1180 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 16 |
|---|---|
| 5-th percentile | 94 |
| Q1 | 593 |
| median | 755 |
| Q3 | 797 |
| 95-th percentile | 1002.4 |
| Maximum | 1180 |
| Range | 1164 |
| Interquartile range (IQR) | 204 |
Descriptive statistics
| Standard deviation | 301.20772 |
|---|---|
| Coefficient of variation (CV) | 0.45388899 |
| Kurtosis | 1.4711569 |
| Mean | 663.61538 |
| Median Absolute Deviation (MAD) | 126 |
| Skewness | -0.91878409 |
| Sum | 8627 |
| Variance | 90726.09 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 1180 | 1 | 7.7% |
| 884 | 1 | 7.7% |
| 766 | 1 | 7.7% |
| 807 | 1 | 7.7% |
| 755 | 1 | 7.7% |
| 797 | 1 | 7.7% |
| 731 | 1 | 7.7% |
| 566 | 1 | 7.7% |
| 629 | 1 | 7.7% |
| 593 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 16 | 1 | |
| 146 | 1 | |
| 566 | 1 | |
| 593 | 1 | |
| 629 | 1 | |
| 731 | 1 | |
| 755 | 1 | |
| 757 | 1 | |
| 766 | 1 | |
| 797 | 1 |
| Value | Count | Frequency (%) |
| 1180 | 1 | |
| 884 | 1 | |
| 807 | 1 | |
| 797 | 1 | |
| 766 | 1 | |
| 757 | 1 | |
| 755 | 1 | |
| 731 | 1 | |
| 629 | 1 | |
| 593 | 1 |
data__Vandalism
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14250.769 |
| Minimum | 4358 |
|---|---|
| Maximum | 18184 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 4358 |
|---|---|
| 5-th percentile | 8387 |
| Q1 | 13410 |
| median | 15000 |
| Q3 | 16457 |
| 95-th percentile | 17639.8 |
| Maximum | 18184 |
| Range | 13826 |
| Interquartile range (IQR) | 3047 |
Descriptive statistics
| Standard deviation | 3577.4949 |
|---|---|
| Coefficient of variation (CV) | 0.25103872 |
| Kurtosis | 4.5853093 |
| Mean | 14250.769 |
| Median Absolute Deviation (MAD) | 1590 |
| Skewness | -1.8929406 |
| Sum | 185260 |
| Variance | 12798470 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 16457 | 1 | 7.7% |
| 17277 | 1 | 7.7% |
| 17130 | 1 | 7.7% |
| 18184 | 1 | 7.7% |
| 15673 | 1 | 7.7% |
| 15000 | 1 | 7.7% |
| 14915 | 1 | 7.7% |
| 15042 | 1 | 7.7% |
| 14351 | 1 | 7.7% |
| 13410 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 4358 | 1 | |
| 11073 | 1 | |
| 12390 | 1 | |
| 13410 | 1 | |
| 14351 | 1 | |
| 14915 | 1 | |
| 15000 | 1 | |
| 15042 | 1 | |
| 15673 | 1 | |
| 16457 | 1 |
| Value | Count | Frequency (%) |
| 18184 | 1 | |
| 17277 | 1 | |
| 17130 | 1 | |
| 16457 | 1 | |
| 15673 | 1 | |
| 15042 | 1 | |
| 15000 | 1 | |
| 14915 | 1 | |
| 14351 | 1 | |
| 13410 | 1 |
data__Weapons: Carrying, Possessing, Etc.
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3397.3077 |
| Minimum | 1152 |
|---|---|
| Maximum | 4263 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 1152 |
|---|---|
| 5-th percentile | 2160 |
| Q1 | 3354 |
| median | 3580 |
| Q3 | 3769 |
| 95-th percentile | 4156.8 |
| Maximum | 4263 |
| Range | 3111 |
| Interquartile range (IQR) | 415 |
Descriptive statistics
| Standard deviation | 790.94378 |
|---|---|
| Coefficient of variation (CV) | 0.23281488 |
| Kurtosis | 5.4187161 |
| Mean | 3397.3077 |
| Median Absolute Deviation (MAD) | 226 |
| Skewness | -2.0585142 |
| Sum | 44165 |
| Variance | 625592.06 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 4263 | 1 | 7.7% |
| 4001 | 1 | 7.7% |
| 3769 | 1 | 7.7% |
| 4086 | 1 | 7.7% |
| 3580 | 1 | 7.7% |
| 3437 | 1 | 7.7% |
| 3535 | 1 | 7.7% |
| 3677 | 1 | 7.7% |
| 3583 | 1 | 7.7% |
| 3354 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 1152 | 1 | |
| 2832 | 1 | |
| 2896 | 1 | |
| 3354 | 1 | |
| 3437 | 1 | |
| 3535 | 1 | |
| 3580 | 1 | |
| 3583 | 1 | |
| 3677 | 1 | |
| 3769 | 1 |
| Value | Count | Frequency (%) |
| 4263 | 1 | |
| 4086 | 1 | |
| 4001 | 1 | |
| 3769 | 1 | |
| 3677 | 1 | |
| 3583 | 1 | |
| 3580 | 1 | |
| 3535 | 1 | |
| 3437 | 1 | |
| 3354 | 1 |
data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice)
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2341.6154 |
| Minimum | 278 |
|---|---|
| Maximum | 4208 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 236.0 B |
Quantile statistics
| Minimum | 278 |
|---|---|
| 5-th percentile | 827.6 |
| Q1 | 1787 |
| median | 2011 |
| Q3 | 3502 |
| 95-th percentile | 3954.8 |
| Maximum | 4208 |
| Range | 3930 |
| Interquartile range (IQR) | 1715 |
Descriptive statistics
| Standard deviation | 1129.5676 |
|---|---|
| Coefficient of variation (CV) | 0.48238818 |
| Kurtosis | -0.45541944 |
| Mean | 2341.6154 |
| Median Absolute Deviation (MAD) | 382 |
| Skewness | 0.13802326 |
| Sum | 30441 |
| Variance | 1275922.9 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 4208 | 1 | 7.7% |
| 3786 | 1 | 7.7% |
| 3502 | 1 | 7.7% |
| 3588 | 1 | 7.7% |
| 2393 | 1 | 7.7% |
| 2159 | 1 | 7.7% |
| 2007 | 1 | 7.7% |
| 2011 | 1 | 7.7% |
| 1787 | 1 | 7.7% |
| 1894 | 1 | 7.7% |
| Other values (3) | 3 |
| Value | Count | Frequency (%) |
| 278 | 1 | |
| 1194 | 1 | |
| 1634 | 1 | |
| 1787 | 1 | |
| 1894 | 1 | |
| 2007 | 1 | |
| 2011 | 1 | |
| 2159 | 1 | |
| 2393 | 1 | |
| 3502 | 1 |
| Value | Count | Frequency (%) |
| 4208 | 1 | |
| 3786 | 1 | |
| 3588 | 1 | |
| 3502 | 1 | |
| 2393 | 1 | |
| 2159 | 1 | |
| 2011 | 1 | |
| 2007 | 1 | |
| 1894 | 1 | |
| 1787 | 1 |
| data__Aggravated Assault | data__All Other Offenses (Except Traffic) | data__Arson | data__Burglary | data__Disorderly Conduct | data__Driving Under the Influence | data__Drug Abuse Violations - Grand Total | data__Embezzlement | data__Forgery and Counterfeiting | data__Fraud | data__Gambling - Total | data__Human Trafficking - Commercial Sex Acts | data__Larceny - Theft | data__Liquor Laws | data__Manslaughter by Negligence | data__Motor Vehicle Theft | data__Murder and Nonnegligent Manslaughter | data__Offenses Against the Family and Children | data__Prostitution and Commercialized Vice | data__Rape | data__Robbery | data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice) | data__Simple Assault | data__Stolen Property: Buying, Receiving, Possessing | data__Vagrancy | data__Vandalism | data__Weapons: Carrying, Possessing, Etc. | data__data_year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| data__Aggravated Assault | 1.000 | 0.956 | 0.854 | 0.907 | 0.956 | 0.923 | 0.335 | 0.973 | 0.978 | 0.956 | 0.923 | 0.798 | 0.874 | 0.956 | 0.615 | 0.736 | 0.451 | 0.665 | 0.720 | -0.110 | 0.956 | 0.956 | 0.890 | 0.929 | 0.775 | 0.945 | 0.967 | -0.956 |
| data__All Other Offenses (Except Traffic) | 0.956 | 1.000 | 0.876 | 0.940 | 1.000 | 0.978 | 0.335 | 0.978 | 0.918 | 1.000 | 0.945 | 0.674 | 0.907 | 0.984 | 0.593 | 0.654 | 0.402 | 0.643 | 0.841 | -0.220 | 0.989 | 0.984 | 0.940 | 0.956 | 0.868 | 0.934 | 0.896 | -1.000 |
| data__Arson | 0.854 | 0.876 | 1.000 | 0.843 | 0.876 | 0.810 | 0.595 | 0.813 | 0.871 | 0.876 | 0.906 | 0.674 | 0.815 | 0.909 | 0.513 | 0.631 | 0.473 | 0.430 | 0.725 | -0.298 | 0.837 | 0.879 | 0.799 | 0.887 | 0.807 | 0.826 | 0.835 | -0.876 |
| data__Burglary | 0.907 | 0.940 | 0.843 | 1.000 | 0.940 | 0.962 | 0.390 | 0.929 | 0.918 | 0.940 | 0.929 | 0.674 | 0.978 | 0.956 | 0.433 | 0.665 | 0.259 | 0.456 | 0.813 | -0.308 | 0.940 | 0.934 | 0.945 | 0.984 | 0.786 | 0.973 | 0.868 | -0.940 |
| data__Disorderly Conduct | 0.956 | 1.000 | 0.876 | 0.940 | 1.000 | 0.978 | 0.335 | 0.978 | 0.918 | 1.000 | 0.945 | 0.000 | 0.907 | 0.984 | 0.593 | 0.654 | 0.402 | 0.643 | 0.841 | -0.220 | 0.989 | 0.984 | 0.940 | 0.956 | 0.868 | 0.934 | 0.896 | -1.000 |
| data__Driving Under the Influence | 0.923 | 0.978 | 0.810 | 0.962 | 0.978 | 1.000 | 0.357 | 0.967 | 0.885 | 0.978 | 0.934 | 0.798 | 0.940 | 0.951 | 0.516 | 0.621 | 0.325 | 0.599 | 0.874 | -0.242 | 0.978 | 0.951 | 0.973 | 0.945 | 0.824 | 0.945 | 0.863 | -0.978 |
| data__Drug Abuse Violations - Grand Total | 0.335 | 0.335 | 0.595 | 0.390 | 0.335 | 0.357 | 1.000 | 0.280 | 0.379 | 0.335 | 0.478 | 0.798 | 0.434 | 0.352 | 0.190 | 0.341 | 0.261 | -0.005 | 0.407 | -0.181 | 0.302 | 0.346 | 0.418 | 0.363 | 0.335 | 0.385 | 0.368 | -0.335 |
| data__Embezzlement | 0.973 | 0.978 | 0.813 | 0.929 | 0.978 | 0.967 | 0.280 | 1.000 | 0.934 | 0.978 | 0.940 | 0.000 | 0.901 | 0.962 | 0.568 | 0.687 | 0.393 | 0.665 | 0.802 | -0.132 | 0.995 | 0.956 | 0.918 | 0.945 | 0.791 | 0.929 | 0.918 | -0.978 |
| data__Forgery and Counterfeiting | 0.978 | 0.918 | 0.871 | 0.918 | 0.918 | 0.885 | 0.379 | 0.934 | 1.000 | 0.918 | 0.901 | 0.739 | 0.907 | 0.951 | 0.607 | 0.714 | 0.369 | 0.538 | 0.698 | -0.165 | 0.918 | 0.934 | 0.874 | 0.940 | 0.747 | 0.956 | 0.951 | -0.918 |
| data__Fraud | 0.956 | 1.000 | 0.876 | 0.940 | 1.000 | 0.978 | 0.335 | 0.978 | 0.918 | 1.000 | 0.945 | 0.674 | 0.907 | 0.984 | 0.593 | 0.654 | 0.402 | 0.643 | 0.841 | -0.220 | 0.989 | 0.984 | 0.940 | 0.956 | 0.868 | 0.934 | 0.896 | -1.000 |
| data__Gambling - Total | 0.923 | 0.945 | 0.906 | 0.929 | 0.945 | 0.934 | 0.478 | 0.940 | 0.901 | 0.945 | 1.000 | 0.603 | 0.896 | 0.945 | 0.483 | 0.698 | 0.415 | 0.538 | 0.797 | -0.253 | 0.951 | 0.912 | 0.879 | 0.951 | 0.791 | 0.896 | 0.912 | -0.945 |
| data__Human Trafficking - Commercial Sex Acts | 0.798 | 0.674 | 0.674 | 0.674 | 0.000 | 0.798 | 0.798 | 0.000 | 0.739 | 0.674 | 0.603 | 1.000 | -0.463 | -0.463 | -0.465 | -0.463 | -0.464 | -0.463 | -0.463 | -0.463 | -0.463 | -0.463 | -0.463 | -0.463 | -0.463 | -0.463 | -0.463 | 0.463 |
| data__Larceny - Theft | 0.874 | 0.907 | 0.815 | 0.978 | 0.907 | 0.940 | 0.434 | 0.901 | 0.907 | 0.907 | 0.896 | -0.463 | 1.000 | 0.929 | 0.491 | 0.566 | 0.171 | 0.374 | 0.857 | -0.341 | 0.912 | 0.901 | 0.951 | 0.956 | 0.758 | 0.956 | 0.819 | -0.907 |
| data__Liquor Laws | 0.956 | 0.984 | 0.909 | 0.956 | 0.984 | 0.951 | 0.352 | 0.962 | 0.951 | 0.984 | 0.945 | -0.463 | 0.929 | 1.000 | 0.593 | 0.670 | 0.336 | 0.571 | 0.797 | -0.247 | 0.973 | 0.984 | 0.912 | 0.984 | 0.874 | 0.951 | 0.912 | -0.984 |
| data__Manslaughter by Negligence | 0.615 | 0.593 | 0.513 | 0.433 | 0.593 | 0.516 | 0.190 | 0.568 | 0.607 | 0.593 | 0.483 | -0.465 | 0.491 | 0.593 | 1.000 | 0.306 | 0.186 | 0.483 | 0.486 | 0.022 | 0.554 | 0.629 | 0.516 | 0.494 | 0.657 | 0.552 | 0.571 | -0.593 |
| data__Motor Vehicle Theft | 0.736 | 0.654 | 0.631 | 0.665 | 0.654 | 0.621 | 0.341 | 0.687 | 0.714 | 0.654 | 0.698 | -0.463 | 0.566 | 0.670 | 0.306 | 1.000 | 0.525 | 0.374 | 0.280 | -0.055 | 0.659 | 0.698 | 0.549 | 0.692 | 0.511 | 0.681 | 0.747 | -0.654 |
| data__Murder and Nonnegligent Manslaughter | 0.451 | 0.402 | 0.473 | 0.259 | 0.402 | 0.325 | 0.261 | 0.393 | 0.369 | 0.402 | 0.415 | -0.464 | 0.171 | 0.336 | 0.186 | 0.525 | 1.000 | 0.473 | 0.300 | 0.245 | 0.380 | 0.363 | 0.336 | 0.292 | 0.212 | 0.259 | 0.399 | -0.402 |
| data__Offenses Against the Family and Children | 0.665 | 0.643 | 0.430 | 0.456 | 0.643 | 0.599 | -0.005 | 0.665 | 0.538 | 0.643 | 0.538 | -0.463 | 0.374 | 0.571 | 0.483 | 0.374 | 0.473 | 1.000 | 0.429 | 0.478 | 0.643 | 0.604 | 0.505 | 0.484 | 0.538 | 0.522 | 0.681 | -0.643 |
| data__Prostitution and Commercialized Vice | 0.720 | 0.841 | 0.725 | 0.813 | 0.841 | 0.874 | 0.407 | 0.802 | 0.698 | 0.841 | 0.797 | -0.463 | 0.857 | 0.797 | 0.486 | 0.280 | 0.300 | 0.429 | 1.000 | -0.291 | 0.835 | 0.786 | 0.907 | 0.791 | 0.681 | 0.758 | 0.610 | -0.841 |
| data__Rape | -0.110 | -0.220 | -0.298 | -0.308 | -0.220 | -0.242 | -0.181 | -0.132 | -0.165 | -0.220 | -0.253 | -0.463 | -0.341 | -0.247 | 0.022 | -0.055 | 0.245 | 0.478 | -0.291 | 1.000 | -0.176 | -0.242 | -0.291 | -0.291 | -0.203 | -0.247 | -0.044 | 0.220 |
| data__Robbery | 0.956 | 0.989 | 0.837 | 0.940 | 0.989 | 0.978 | 0.302 | 0.995 | 0.918 | 0.989 | 0.951 | -0.463 | 0.912 | 0.973 | 0.554 | 0.659 | 0.380 | 0.643 | 0.835 | -0.176 | 1.000 | 0.962 | 0.929 | 0.956 | 0.830 | 0.923 | 0.896 | -0.989 |
| data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice) | 0.956 | 0.984 | 0.879 | 0.934 | 0.984 | 0.951 | 0.346 | 0.956 | 0.934 | 0.984 | 0.912 | -0.463 | 0.901 | 0.984 | 0.629 | 0.698 | 0.363 | 0.604 | 0.786 | -0.242 | 0.962 | 1.000 | 0.918 | 0.956 | 0.857 | 0.951 | 0.901 | -0.984 |
| data__Simple Assault | 0.890 | 0.940 | 0.799 | 0.945 | 0.940 | 0.973 | 0.418 | 0.918 | 0.874 | 0.940 | 0.879 | -0.463 | 0.951 | 0.912 | 0.516 | 0.549 | 0.336 | 0.505 | 0.907 | -0.291 | 0.929 | 0.918 | 1.000 | 0.907 | 0.775 | 0.940 | 0.802 | -0.940 |
| data__Stolen Property: Buying, Receiving, Possessing | 0.929 | 0.956 | 0.887 | 0.984 | 0.956 | 0.945 | 0.363 | 0.945 | 0.940 | 0.956 | 0.951 | -0.463 | 0.956 | 0.984 | 0.494 | 0.692 | 0.292 | 0.484 | 0.791 | -0.291 | 0.956 | 0.956 | 0.907 | 1.000 | 0.813 | 0.956 | 0.896 | -0.956 |
| data__Vagrancy | 0.775 | 0.868 | 0.807 | 0.786 | 0.868 | 0.824 | 0.335 | 0.791 | 0.747 | 0.868 | 0.791 | -0.463 | 0.758 | 0.874 | 0.657 | 0.511 | 0.212 | 0.538 | 0.681 | -0.203 | 0.830 | 0.857 | 0.775 | 0.813 | 1.000 | 0.780 | 0.731 | -0.868 |
| data__Vandalism | 0.945 | 0.934 | 0.826 | 0.973 | 0.934 | 0.945 | 0.385 | 0.929 | 0.956 | 0.934 | 0.896 | -0.463 | 0.956 | 0.951 | 0.552 | 0.681 | 0.259 | 0.522 | 0.758 | -0.247 | 0.923 | 0.951 | 0.940 | 0.956 | 0.780 | 1.000 | 0.918 | -0.934 |
| data__Weapons: Carrying, Possessing, Etc. | 0.967 | 0.896 | 0.835 | 0.868 | 0.896 | 0.863 | 0.368 | 0.918 | 0.951 | 0.896 | 0.912 | -0.463 | 0.819 | 0.912 | 0.571 | 0.747 | 0.399 | 0.681 | 0.610 | -0.044 | 0.896 | 0.901 | 0.802 | 0.896 | 0.731 | 0.918 | 1.000 | -0.896 |
| data__data_year | -0.956 | -1.000 | -0.876 | -0.940 | -1.000 | -0.978 | -0.335 | -0.978 | -0.918 | -1.000 | -0.945 | 0.463 | -0.907 | -0.984 | -0.593 | -0.654 | -0.402 | -0.643 | -0.841 | 0.220 | -0.989 | -0.984 | -0.940 | -0.956 | -0.868 | -0.934 | -0.896 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| title | keys | data__data_year | data__Aggravated Assault | data__All Other Offenses (Except Traffic) | data__Arson | data__Burglary | data__Curfew and Loitering Law Violations | data__Disorderly Conduct | data__Driving Under the Influence | data__Drug Abuse Violations - Grand Total | data__Drunkenness | data__Embezzlement | data__Forgery and Counterfeiting | data__Fraud | data__Gambling - Total | data__Human Trafficking - Commercial Sex Acts | data__Human Trafficking - Involuntary Servitude | data__Larceny - Theft | data__Liquor Laws | data__Manslaughter by Negligence | data__Motor Vehicle Theft | data__Murder and Nonnegligent Manslaughter | data__Offenses Against the Family and Children | data__Prostitution and Commercialized Vice | data__Rape | data__Robbery | data__Simple Assault | data__Stolen Property: Buying, Receiving, Possessing | data__Suspicion | data__Vagrancy | data__Vandalism | data__Weapons: Carrying, Possessing, Etc. | data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | All Arrest by Offense | Aggravated Assault | 2009 | 10690 | 79418 | 419 | 8317 | 0 | 15063 | 36694 | 61957 | 0 | 156 | 3620 | 7868 | 237 | 0 | 0 | 49523 | 5260 | 28 | 2208 | 282 | 1324 | 874 | 534 | 4380 | 37004 | 5544 | 0 | 1180 | 16457 | 4263 | 4208 |
| 1 | NaN | All Other Offenses (Except Traffic) | 2010 | 10590 | 74663 | 351 | 8747 | 0 | 14302 | 38720 | 65710 | 0 | 103 | 3203 | 6684 | 163 | 0 | 0 | 50330 | 4726 | 16 | 2075 | 289 | 635 | 896 | 516 | 3854 | 39851 | 5301 | 0 | 884 | 17277 | 4001 | 3786 |
| 2 | NaN | Arson | 2011 | 9759 | 69703 | 286 | 8841 | 0 | 13176 | 39217 | 65331 | 0 | 118 | 3115 | 6607 | 193 | 0 | 0 | 51120 | 4556 | 14 | 1986 | 247 | 602 | 963 | 470 | 3920 | 38866 | 5382 | 0 | 766 | 17130 | 3769 | 3502 |
| 3 | NaN | Burglary | 2012 | 10135 | 68123 | 380 | 9333 | 0 | 12904 | 34042 | 67322 | 0 | 101 | 3647 | 6234 | 190 | 0 | 0 | 51906 | 4940 | 15 | 2152 | 209 | 467 | 805 | 461 | 3820 | 38118 | 5854 | 0 | 807 | 18184 | 4086 | 3588 |
| 4 | NaN | Curfew and Loitering Law Violations | 2013 | 9025 | 52861 | 344 | 8130 | 0 | 10341 | 31174 | 67324 | 0 | 90 | 3122 | 5720 | 120 | 0 | 0 | 50765 | 3145 | 21 | 1825 | 273 | 396 | 1181 | 370 | 3799 | 38197 | 4814 | 0 | 755 | 15673 | 3580 | 2393 |
| 5 | NaN | Disorderly Conduct | 2014 | 8531 | 47476 | 298 | 7198 | 0 | 8731 | 30546 | 64385 | 0 | 52 | 2713 | 5378 | 82 | 0 | 0 | 47495 | 2467 | 15 | 1778 | 216 | 551 | 923 | 469 | 3614 | 32185 | 4227 | 0 | 797 | 15000 | 3437 | 2159 |
| 6 | NaN | Driving Under the Influence | 2015 | 8698 | 47286 | 282 | 6427 | 0 | 7287 | 30361 | 25013 | 0 | 74 | 2795 | 5045 | 78 | 0 | 0 | 45308 | 1873 | 11 | 1811 | 268 | 604 | 869 | 1164 | 3646 | 31396 | 3756 | 0 | 731 | 14915 | 3535 | 2007 |
| 7 | NaN | Drug Abuse Violations - Grand Total | 2016 | 8765 | 44971 | 242 | 5950 | 0 | 6498 | 29984 | 25817 | 0 | 64 | 2852 | 4481 | 74 | 0 | 0 | 42550 | 1609 | 18 | 1856 | 263 | 611 | 632 | 1122 | 3337 | 30120 | 3527 | 0 | 566 | 15042 | 3677 | 2011 |
| 8 | NaN | Drunkenness | 2017 | 8594 | 44355 | 298 | 5480 | 0 | 5588 | 28533 | 76716 | 0 | 48 | 2730 | 4417 | 102 | 0 | 0 | 39002 | 1498 | 13 | 1812 | 274 | 576 | 688 | 1015 | 3236 | 29039 | 3368 | 0 | 629 | 14351 | 3583 | 1787 |
| 9 | NaN | Embezzlement | 2018 | 8146 | 42343 | 282 | 4696 | 0 | 5271 | 27000 | 76108 | 0 | 37 | 2207 | 4142 | 45 | 0 | 0 | 36890 | 1106 | 11 | 1901 | 263 | 536 | 599 | 994 | 2798 | 28321 | 3006 | 0 | 593 | 13410 | 3354 | 1894 |
| title | keys | data__data_year | data__Aggravated Assault | data__All Other Offenses (Except Traffic) | data__Arson | data__Burglary | data__Curfew and Loitering Law Violations | data__Disorderly Conduct | data__Driving Under the Influence | data__Drug Abuse Violations - Grand Total | data__Drunkenness | data__Embezzlement | data__Forgery and Counterfeiting | data__Fraud | data__Gambling - Total | data__Human Trafficking - Commercial Sex Acts | data__Human Trafficking - Involuntary Servitude | data__Larceny - Theft | data__Liquor Laws | data__Manslaughter by Negligence | data__Motor Vehicle Theft | data__Murder and Nonnegligent Manslaughter | data__Offenses Against the Family and Children | data__Prostitution and Commercialized Vice | data__Rape | data__Robbery | data__Simple Assault | data__Stolen Property: Buying, Receiving, Possessing | data__Suspicion | data__Vagrancy | data__Vandalism | data__Weapons: Carrying, Possessing, Etc. | data__Sex Offenses (Except Rape, and Prostitution and Commercialized Vice) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | NaN | Burglary | 2012 | 10135 | 68123 | 380 | 9333 | 0 | 12904 | 34042 | 67322 | 0 | 101 | 3647 | 6234 | 190 | 0 | 0 | 51906 | 4940 | 15 | 2152 | 209 | 467 | 805 | 461 | 3820 | 38118 | 5854 | 0 | 807 | 18184 | 4086 | 3588 |
| 4 | NaN | Curfew and Loitering Law Violations | 2013 | 9025 | 52861 | 344 | 8130 | 0 | 10341 | 31174 | 67324 | 0 | 90 | 3122 | 5720 | 120 | 0 | 0 | 50765 | 3145 | 21 | 1825 | 273 | 396 | 1181 | 370 | 3799 | 38197 | 4814 | 0 | 755 | 15673 | 3580 | 2393 |
| 5 | NaN | Disorderly Conduct | 2014 | 8531 | 47476 | 298 | 7198 | 0 | 8731 | 30546 | 64385 | 0 | 52 | 2713 | 5378 | 82 | 0 | 0 | 47495 | 2467 | 15 | 1778 | 216 | 551 | 923 | 469 | 3614 | 32185 | 4227 | 0 | 797 | 15000 | 3437 | 2159 |
| 6 | NaN | Driving Under the Influence | 2015 | 8698 | 47286 | 282 | 6427 | 0 | 7287 | 30361 | 25013 | 0 | 74 | 2795 | 5045 | 78 | 0 | 0 | 45308 | 1873 | 11 | 1811 | 268 | 604 | 869 | 1164 | 3646 | 31396 | 3756 | 0 | 731 | 14915 | 3535 | 2007 |
| 7 | NaN | Drug Abuse Violations - Grand Total | 2016 | 8765 | 44971 | 242 | 5950 | 0 | 6498 | 29984 | 25817 | 0 | 64 | 2852 | 4481 | 74 | 0 | 0 | 42550 | 1609 | 18 | 1856 | 263 | 611 | 632 | 1122 | 3337 | 30120 | 3527 | 0 | 566 | 15042 | 3677 | 2011 |
| 8 | NaN | Drunkenness | 2017 | 8594 | 44355 | 298 | 5480 | 0 | 5588 | 28533 | 76716 | 0 | 48 | 2730 | 4417 | 102 | 0 | 0 | 39002 | 1498 | 13 | 1812 | 274 | 576 | 688 | 1015 | 3236 | 29039 | 3368 | 0 | 629 | 14351 | 3583 | 1787 |
| 9 | NaN | Embezzlement | 2018 | 8146 | 42343 | 282 | 4696 | 0 | 5271 | 27000 | 76108 | 0 | 37 | 2207 | 4142 | 45 | 0 | 0 | 36890 | 1106 | 11 | 1901 | 263 | 536 | 599 | 994 | 2798 | 28321 | 3006 | 0 | 593 | 13410 | 3354 | 1894 |
| 10 | NaN | Forgery and Counterfeiting | 2019 | 7622 | 36877 | 226 | 4060 | 0 | 3983 | 26268 | 57667 | 0 | 26 | 1814 | 3625 | 33 | 0 | 0 | 34087 | 734 | 21 | 1795 | 200 | 538 | 502 | 1019 | 2287 | 25270 | 2334 | 0 | 757 | 12390 | 2896 | 1634 |
| 11 | NaN | Fraud | 2020 | 7187 | 25643 | 227 | 4558 | 0 | 1925 | 18284 | 35288 | 0 | 22 | 1408 | 1603 | 37 | 0 | 0 | 26119 | 259 | 8 | 1916 | 278 | 324 | 178 | 756 | 1911 | 20200 | 2467 | 0 | 146 | 11073 | 2832 | 1194 |
| 12 | NaN | Gambling - Total | 2021 | 2528 | 12251 | 114 | 1317 | 0 | 701 | 4256 | 4160 | 0 | 16 | 257 | 321 | 7 | 1 | 0 | 7789 | 171 | 5 | 760 | 94 | 41 | 14 | 205 | 621 | 7830 | 560 | 0 | 16 | 4358 | 1152 | 278 |